Topic archive

AI & Algorithms

MedTech Current publications and recall entries tagged AI & Algorithms.

Regulatory Intelligence

FDA PCCP cases detail controls for adaptive AI devices

FDA's October 20 update highlights hypothetical pathways for hospital-specific sepsis models and automated ECG model retraining. The examples connect planned changes with validation, controlled deployment and continued oversight, without authorizing unrestricted learning.

Regulatory Intelligence

TGA Review Identifies Gaps in Digital Mental Health Exclusion Criteria

The TGA has completed its review of the conditional exclusion for certain digital mental health tools, finding that the criteria may allow higher-risk products to remain outside its oversight. Public consultation on regulatory options is planned for 2026; the update does not establish a final replacement rule or commencement date.

Regulatory Intelligence

TGA digital scribe review clarifies medical-device boundaries

The TGA's review identifies potentially regulated functions in eight of 12 digital scribes. Intended purpose, clinical outputs and conditional CDSS exemptions determine the applicable regulatory position.

Regulatory Intelligence

MHRA 2030 strategy sets direction for AI device oversight

MHRA plans an adaptive framework for AI medical devices, a Centre for AI and Digital Health, and stronger lifecycle data and traceability. The 14 October strategy sets future priorities; planned UDI measures remain subject to the parliamentary process.

Regulatory Intelligence

PMDA releases English translation of draft GenAI review points

PMDA has made its September draft review points for generative AI medical devices available in English. The draft discusses clinical scope, performance testing, supplier dependencies and life-cycle risk management; the translation introduces no newly effective requirements.

Regulatory Intelligence

FDA Opens Regulatory Discussion on Generative AI-Enabled Medical Devices

FDA has issued a discussion paper seeking feedback on how generative AI-enabled medical devices should be assessed across risk classification, premarket evaluation, and postmarket monitoring. The paper outlines possible approaches including a two-axis risk framework and competency-based premarket assessment, but it does not establish new regulatory requirements.